Nicholas D. Sidiropoulos
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TRICAP and other Workshops

Presentations

Webinars

  1. N. D. Sidiropoulos and C. Kanatsoulis, "Tensor Completion from Regular Sub-Nyquist Samples," IEEE Signal Processing Society Webinar Series, Jan. 20, 2021.
  2. N. D. Sidiropoulos, "Nonparametric Multivariate Density Estimation: A Low Rank Characteristic Function Approach," IEEE Greece Section / IEEE Signal Processing Society Greece Chapter Joint Webinar, Dec. 4, 2020.
  3. N. D. Sidiropoulos, "Nonparametric Multivariate Density Estimation: A Low Rank Characteristic Function Approach," One World Signal Processing Seminar, Dec. 3, 2020.

Plenary & Keynote Talks

  1. N. D. Sidiropoulos, "Learning as Tensor Completion," Keynote Talk at the First International Symposium on the Tsetlin Machine (ISTM), Grimstadt, Norway, June 20, 2022.
  2. N. D. Sidiropoulos, "Canonical Identification: A Principled Alternative to Neural Networks," Keynote Talk at the GdR ISIS Décompositions Tensorielles Workshop, May 27, 2020, Université de Lorraine. GdR ISIS is the Information, Signal, Image and ViSion division of the French Centre National de la Recherche Scientifique (CNRS).
  3. N. D. Sidiropoulos, "Canonical Identification: A Principled Alternative to Neural Networks," Keynote Talk at the 53rd Asilomar Conference on Signals, Systems, and Computers, Nov. 1-4, 2019, Pacific Grove, CA.
  4. N. D. Sidiropoulos, "Supervised Learning via Tensor Completion," Keynote Talk at the IEEE Machine Learning for Signal Processing Workshop (MLSP), October 13-16, 2019, Pittsburg, PA.
  5. N. D. Sidiropoulos, "Machine Learning for Communications," Keynote Speech at the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), July 2-5, 2019, Cannes, France.
  6. N. D. Sidiropoulos (joint work with N. Kargas and X. Fu), "Tensors and Probability: an Intriguing Union," Distinguished Symposium Talk at GlobalSIP 2018: Tensor Methods for Signal Processing and Machine Learning Symposium, Nov. 28, Anaheim, CA.
  7. N. D. Sidiropoulos (joint work with N. Kargas), "Tensors and Probability: an Intriguing Union," in 7th IEEE International. Workshop on Computational Advances in Multi-sensor Adaptive Processing (CAMSAP 2017), Dec. 10-13, Curacao, Dutch Antilles.
  8. N. D. Sidiropoulos (joint work with B. Yang and X. Fu), "Joint Dimensionality Reduction and Latent Clustering for Matrices and Tensors: A Factor Analysis Approach," in 2016 Shenzhen Workshop on Data Science (SZWDS 2016), March 19, 2016, CUHK/Shenzhen.
  9. N. D. Sidiropoulos (joint work with B. Yang and X. Fu), "Joint Dimensionality Reduction and Latent Clustering for Matrices and Tensors: A Factor Analysis Approach," in Tensor Decomposition and Applications (TDA) 2016 Workshop, Jan. 18-22, 2016, Leuven, Belgium.
  10. N. D. Sidiropoulos, "Tensor Decomposition Theory and Algorithms in the Era of Big Data," Inaugural Plenary Lecture at EUSIPCO, Sep. 2, 2014, Lisbon, Portugal.
  11. N. D. Sidiropoulos, "Frugal Sensing and Estimation over Wireless Networks," Plenary Lecture at ISWCS, Aug. 28, 2014, Barcelona, Spain.
  12. N. D. Sidiropoulos, "Joint Back-pressure Power Control and Interference Cancellation for Wireless Multi-hop Networks," IEEE GlobalSIP, Network Theory Workshop, Dec. 3, 2013, Austin, TX.
  13. N. D. Sidiropoulos, "Frugal Sensing: Spectral Analysis from Power Inequalities," IEEE SPAWC 2013 Workshop, June 17, 2013, Darmstadt, Germany.
  14. N. D. Sidiropoulos, "Cross-layer Wireless Networking: Complexity, Approximation, and Opportunities for SP Research," IEEE SPAWC 2010 Workshop, June 20-23, Marrakech, Morocco.
  15. N. D. Sidiropoulos, "Signal Processing Applications of Parallel Factor Analysis," Joint CNRS-SIAM Workshop on Tensor Decompositions and Applications, Aug. 29 - Sep. 2, 2005, Luminiy, Marseille, France.
  16. N. D. Sidiropoulos, "Low-Rank Decomposition of Multi-Way Arrays: A Signal Processing Perspective," IEEE SAM 2004, July 18-21, Sitges, Barcelona, Spain.
  17. N. D. Sidiropoulos, "Links Between Multidimensional Low-Rank and Harmonic Decomposition," Numerical Multilinear Algebra and Its Applications Mini-Symposium at SIAM 50th Anniversary and 2002 Annual Meeting, July 8-12, 2002, Philadelphia, PA.

Talks Under IEEE SPS Distinguished Lecturer Program

  1. N. D. Sidiropoulos, "Multicast Beamforming and Admission Control for UMTS-LTE and 802.16e," University of Belgrade, Serbia, Jul. 2, 2008; Technical University of Darmstadt, Germany, Jul. 24, 2008; Northwestern University, Chicago, Nov. 7, 2008; Nokia Research Center, Helsinki, Finland, Nov. 12, 2008; University of Hong Kong, Apr. 28, 2009.
  2. N. D. Sidiropoulos, "Analyzing Data 'Boxes': Multi-way linear algebra and its applications in signal processing and communications," University Carlos III, Madrid, Spain, Jun. 13, 2008; Institute Mihailo Pupin (IMP), Belgrade, Serbia, Jun. 30, 2008; University of Minnesota, Minneapolis, Nov. 5, 2008; University of Illinois, Chicago, Nov. 7, 2008; University of Helsinki, Finland, Nov. 11, 2008; Hong Kong University of Science and Technology, Apr. 27, 2009; University of Athens, Greece, Oct. 17, 2009 (part of Greek SP Jam).

Colloquia

  1. N. D. Sidiropoulos, "Tensors in Statistical Learning and Combinatorial Optimization," Distinguished Mercer Lecture, ECE Department, Rensselaer Polytechnic Institute, Mar. 22, 2023.
  2. N. D. Sidiropoulos, "Tensors in Statistical Learning and Combinatorial Optimization," EE Seminar, Harvard University, Feb. 3, 2023.
  3. N. D. Sidiropoulos, "Blind Carbon Copy on Dirty Paper: Seamless Spectrum Underlay via Canonical Correlation Analysis," Booz Allen Hamilton Colloquium, Department of ECE, University of Maryland at College Park, Nov. 19, 2021.
  4. N. D. Sidiropoulos, "Canonical Identification: A Principled Alternative to Neural Networks," Rice ECE Distinguished Speaker Series, Jun. 18, 2020.
  5. N. D. Sidiropoulos, "Tensors and Probability: an Intriguing Union," Bradley Distinguished Lecture, Virginia Tech, Blacksburg, VA, Nov. 30, 2018.
  6. N. D. Sidiropoulos, "Tensor Decomposition Theory and Algorithms in the Era of Big Data," ECE Dept., Yale University, Oct. 9, 2015.
  7. N. D. Sidiropoulos, "Tensor Decomposition Theory and Algorithms in the Era of Big Data," ECE Dept., NCSU, Dec. 5, 2014.
  8. N. D. Sidiropoulos, "Frugal Sensing: Wideband Spectrm Sensing from few bits," Arizona State University, Sensor Signal and Information Processing Industry Consortium, Mar. 18, 2013.
  9. N. D. Sidiropoulos, "Big Tensor Data, Compressed Sensing, and Preference Measurement," University of Chicago, Departments of Computer Science, Mathematics, and Statistics, Scientific and Statistical Computing Seminar, Feb. 28, 2013.
  10. N. D. Sidiropoulos, "Parallel Factor Analysis," Invited Colloquium at ETH, Zurich, Switzerland, Dec. 9, 2002. This talk was part of the prestigious Communications, Information Theory, and Signal Processing seminar at ETH.
  11. N. D. Sidiropoulos, "Parallel Factor Analysis," Invited Colloquium at FTW Research Center and the Technical University of Vienna (TUW), Vienna Austria, Oct. 25, 2002.
  12. N. D. Sidiropoulos, "Parallel Factor Analysis," Invited Colloquium at University of Duisburg, Germany, Jun. 24-27, 2002.
  13. N. D. Sidiropoulos, "Code-Blind DS/FH Spread-Spectrum Multiuser Detection," McMaster University, Hamilton, Ontario, Canada, Dept. of ECE Colloquium Speaker, Aug. 31, 2001.
  14. N. D. Sidiropoulos, "Code-Blind Spread-Spectrum Multiuser Detection," University of Florida, Gainsville, Dept. of ECE Colloquium Speaker, Mar. 27, 2001.
  15. N. D. Sidiropoulos, "PARAFAC Analysis in Communications, Sensor Array Processing, and Networking," University of Maryland Center for Satellite and Hybrid Communication Networks, Advanced Networks Colloquium Series, Feb. 11, 1999.

Conference Tutorials

  1. N. D. Sidiropoulos, "Tensor Decomposition for Data Science," IEEE Data Science Workshop (DSW) tutorial, Jun. 2, 2019, Minneapolis, MN.
  2. N. D. Sidiropoulos, L. De Lathauwer, X. Fu, and E. E. Papalexakis, "Tensor Decomposition for Signal Processing and Machine Learning," IEEE ICASSP 2017 tutorial, Mar. 5-9, 2017, New Orleans, LA.
  3. N. D. Sidiropoulos and E.E. Papalexakis, "Factoring Big Tensors in the Cloud: A Tutorial on Tensor Decomposition for Big Data Analytics," IEEE ICASSP 2014 tutorial, May 4-9, 2014, Florence, Italy.
  4. N. D. Sidiropoulos, "Linear Algebra for Three-way Arrays: A Signal Processing Perspective," IEEE ICASSP 2005 tutorial TUT-14, Mar. 19, 2005, Philadelphia, PA.
  5. N. D. Sidiropoulos, "Linear Algebra for Three-way Arrays: A Signal Processing Perspective," IEEE ISSPIT 2003 tutorial, Dec. 14, 2003, Darmstadt, Germany.